Format compositions and spatial distribution characteristics of central districts in megacities: People’s Square and Shanghai’s Lujiazui District

Shi, Yi; Hu, Xinyu; Yang, Huiya; Yang, Junyan

doi:10.1057/s41289-018-0077-9

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…Relevant scholars believe that the definition of the concept of sports industry should conform to the rules of industrial economics theory and logic [13]. First, it conforms to the industry definition of "economic activities with the same attribute" and the industry division rules based on the same commodity market; secondly, the production process and technical process of sports, sports services, or labor products are similar, which is consistent with technology; finally, industries that produce or provide sports, sports services, or labor products in the form of live labor meet the criteria for the three industry classifications [14].…”

Section: Related Workmentioning

confidence: 99%

Comprehensive Quantification and Model Optimization of Sports Industry Layout Structure under the Guidance of Location Entropy Intelligent Sensor

2022

Journal of Sensors

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The field bus control system based on field bus is a multidisciplinary emerging technology with intelligent sensor, automatic control, computer, communication, network, and other technologies as the main content. All have broad application prospects. In this paper, the CAN bus technology in the field bus is combined with the sensor, and the OPC technology is used to realize the acquisition of the underlying data in the application and control system. In this paper, the industry agglomeration model, the leading industry model, the urban gravity model, and its index are calculated, and the agglomeration effect, leading industry, and urban gravity of the sports industry in two provinces and one city in a certain region are judged from the micro level. Location entropy and relative density of technical elements, scale effect function, product income elasticity coefficient, market share, and other economic indicators are compared and described, and the sports leading industry and sports industry growth pole area are deduced, and the corresponding industrial development stage is judged. We analyze the strength of the polarization effect and diffusion effect of the sports industry in the above-mentioned regions. Economic factors, social factors, and traffic road factors are selected to analyze the driving force of the distribution of gymnasiums. According to the results of binary and multivariate correlation analysis, it is found that the gross domestic product is very important to the development of the sports industry and directly determines the regional demand for sports. There are sports industry forms that are clustered in areas with high economic levels; population density is selected as the representative of social factors, and the research results show that population density has a strong correlation with the number of sports industry distributions. The reason is that the development of the sports industry ultimately depends on demand. It is difficult to form a concentrated demand for related sports activities in areas with small population density, so the distribution of the sports industry is also very small; and the transportation factor is the main factor affecting economic development and population flow. Therefore, it also indirectly affects the spatial layout of the sports industry.

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Section: Related Workmentioning

confidence: 99%

Comprehensive Quantification and Model Optimization of Sports Industry Layout Structure under the Guidance of Location Entropy Intelligent Sensor

2022

Journal of Sensors

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“…There are many types of formats in the commercial street, which are mainly distributed in strips on both sides of the middle of the commercial street. This article reorganizes formats into 7 commonly used categories based on their classification standards [9] (Table 1), among which there are many types of catering formats that provide catering and other services for tourists. However, the number of public services and other types of formats is relatively small.…”

Section: Study Areamentioning

confidence: 99%

“…The choice, changes, and specific forms of formats are active choices made by retail operators as consumer-positioning changes. The formats' function and intensity of a commercial street directly indicate the economic development level of the commercial street [9]. Therefore, it is crucial to analyze the characteristics of crowd space activities in commercial streets and guide the rational layout of formats to improve the competitiveness of commercial streets and promote their sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Research on the Spatial and Temporal Dynamics of Crowd Activities in Commercial Streets and Their Relationship with Formats—A Case Study of Lao Men Dong Commercial Street in Nanjing

Hu,

Ren,

Tan

et al. 2023

Sustainability

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Crowd activity is an important indicator of commercial streets’ attractiveness and developmental potential. The development of positioning technologies such as GPS and mobile signal tracking has provided a large amount of trajectory data for studying crowd activities on commercial streets. These data can not only be used for the statistics, extraction, and visualization of crowd information, but they also facilitate the exploration of deeper insights into dynamic behaviors, choices, trajectories, and other details of crowd activities. Based on this, this article proposes a new framework for analyzing crowd activities to explore the spatial activity patterns of crowds and understand the dynamic spatial needs of people by analyzing their correlations with local formats. Specifically, we analyze the spatial activity characteristics of a crowd in the Lao Men Dong Commercial Street area by identifying the stay points and trajectory clusters of the crowd, and we establish a regression analysis model by selecting commercial street format variables to evaluate their impact on crowd activities. Through case analysis of the Lao Men Dong Commercial Street, this study confirms that our method is feasible and suitable for spatial research at different scales, thereby providing relevant ideas for format location selection, spatial layout, and other planning types, and for promoting the sustainable development of urban spaces.

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“…Different scholars have presented different interpretations concerning the definition of format within different industries. To facilitate an in-depth study of the formats of the two central regions, all formats were classified and sorted into 15 categories using the service industry data from the Classification of National Economic Industries (GB/T 4754-2002) in China [20]. These include administrative services, entertainment and recreation services, education and scientific research, sports, healthcare, social welfare, traffic services, retail services, market services, catering services, accommodation services, finance and insurance, business, and culture and art, and "other services.…”

Section: Data Collection and Classification Of Formatsmentioning

confidence: 99%

Spatial Correlation Network of Format in the Central Districts of a Megacity: The Case of Shanghai

Yang

et al. 2019

Sustainability

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The format of different industries within a city is an essential part of a megacity’s development and reflects its central districts’ economic characteristics and development trends. This study takes two central districts in the megacity of Shanghai as its research object and explores the inter-spatial relationships among business format, as well as the mutual spatial relationships within the format network, using the quantitative and qualitative methods of case selection and spatial connectivity. Based on the degree of connectivity, the inter-related formats form a format model association network. Two related characteristics of a format type-related network are hierarchy and stability, and two levels are determined according to the importance of each format in the network: core dominant and non-core dominant. By exploring these relationships, the internal spatial correlation structure of format in the city center, and the hierarchy and systematization of each format, is explained. The results simultaneously contribute to the spatial planning of the central district and provide a valuable policy basis for urban planning managers.

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Format compositions and spatial distribution characteristics of central districts in megacities: People’s Square and Shanghai’s Lujiazui District

Cited by 4 publications

References 11 publications

Comprehensive Quantification and Model Optimization of Sports Industry Layout Structure under the Guidance of Location Entropy Intelligent Sensor

Comprehensive Quantification and Model Optimization of Sports Industry Layout Structure under the Guidance of Location Entropy Intelligent Sensor

Research on the Spatial and Temporal Dynamics of Crowd Activities in Commercial Streets and Their Relationship with Formats—A Case Study of Lao Men Dong Commercial Street in Nanjing

Spatial Correlation Network of Format in the Central Districts of a Megacity: The Case of Shanghai

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